Ruedi Stoop
Ruedi Stoop received a masters in mathematics from the University of Zurich, for work in the field
of partial differential equations using the Sobolev formulation. A PhD in computer-aided physics
followed, focusing on the modeling and time series analysis of an NMR laser system. During this
time, he developed one of the first algorithms to extract Lyapunov exponents from time series
and (in parallel to work performed in Budapest) he developed the generalized thermodynamic
formalism and its application to models and experimental data. After a habilitation at the
University of Berne focusing on phase transitions in dynamical systems, he joined the newly
founded Neuroinformatics research institute run jointly by the University and ETH of Zürich, where
he has become a professor. He works presently in three main research areas:
Measurable concepts of natural complexity and computation, with some emphasis on the role
of noise;
Neural networks concepts and algorithms of perception, their relation to dynamical systems,
with practical and industrial applications;
Sensory systems, including the first electronic hardware construction of a Hopf cochlea, a
brain-like electronic model of clustering, and, more recently, the first physics model of pitch
perception explaining all known nonlinear pitch phenomena.
SPONSORS
University of Michigan Sponsors
- Horace H. Rackham School of Graduate Studies at the University of Michigan, Ann Arbor
- Michigan Center for Theoretical Physics
- Center for Studies of Complex Systems
- Medical School
- Department of Mathematics
- Department of Physics
- Biophysics Program